Hiroyuki Kinoshita | Medicine and Health Sciences | Best Researcher Award

Published on by Innovation Technologist

Best Researcher Award

Hiroyuki Kinoshita
Tokushima University, Japan

Hiroyuki Kinoshita
Affiliation Tokushima University
Country Japan
Scopus ID 56214100600
Documents 187
Citations 1,816
h-index 24
Subject area Medicine and Health Sciences
Event Global Innovation Technologist Awards

The Best Researcher Award profile recognizes the scholarly work of Hiroyuki Kinoshita, affiliated with Tokushima University in Japan. His reported research record includes 187 documents, 1,816 citations, and an h-index of 24. These bibliometric indicators provide a quantitative overview of publication activity and citation influence within the indexed scholarly literature. This profile highlights his documented contributions to medicine and health sciences, including recent publications concerning perioperative management and pediatric anesthesia. [1] [2]

Abstract

Hiroyuki Kinoshita is a medical researcher associated with Tokushima University, Japan. The supplied bibliometric information reports 187 scholarly documents, 1,816 citations, and an h-index of 24. Two identified 2026 publications concern the perioperative management of severe hypermagnesemia following magnesium-containing laxative overdose and perfusion-based targets in pediatric anesthesia. These topics reflect clinical interests in perioperative safety, physiological assessment, and evidence-informed anesthetic care. The profile summarizes the available information without inferring unverified research outcomes or institutional honors. [1] [2]

Keywords

Hiroyuki Kinoshita; Tokushima University; medicine and health sciences; anesthesiology; perioperative management; pediatric anesthesia; hypermagnesemia; research impact; citation analysis; Best Researcher Award.

Introduction

Clinical research supports the development of safer medical practices by examining complications, evaluating physiological responses, and informing treatment decisions. Within this context, anesthesiology research addresses patient assessment and management before, during, and after medical procedures. Kinoshita’s two supplied publication records from 2026 provide specific examples of research addressing perioperative clinical challenges. [1] [2]

Research Profile

The supplied Scopus profile identifies the researcher through author ID 56214100600. His reported record of 187 documents and 1,816 citations provides a snapshot of scholarly output and citation activity. An h-index of 24 indicates at least 24 indexed publications with at least 24 citations each, assuming the figures refer to the same dataset and retrieval date. Bibliometric values can change as databases are updated. [3]

Research Contributions

The available article records identify two clinical research topics:

  • Perioperative management following cardiac arrest associated with severe hypermagnesemia caused by magnesium-containing laxative overdose, presented as a case report in Renal Replacement Therapy in 2026. [1]
  • Perfusion-based targets in pediatric anesthesia, discussed in the 2026 article “Bridging the Gap: From Statistical Thresholds to Perfusion-Based Targets in Pediatric Anesthesia.” [2]

These subjects concern clinical decision-making and patient safety. The supplied records do not provide sufficient full-text evidence to assess the studies’ detailed methods or clinical conclusions.

Publications

The identified 2026 publications are relevant examples of the researcher’s reported scholarly activity. The first is a case report published in Renal Replacement Therapy; the second appears in Anesthesia and Analgesia. Complete DOI identifiers were not included in the supplied records and are therefore not reproduced here. The Scopus author profile provides a starting point for verifying the broader publication list. [3]

Research Impact

The reported citation count and h-index offer complementary indicators of scholarly visibility. Citations measure references received by indexed publications, while the h-index combines publication volume with citation frequency. Neither measure independently establishes clinical effectiveness, methodological quality, or societal benefit. A balanced evaluation should also consider research originality, reproducibility, collaboration, and relevance to healthcare practice. [4]

Award Suitability

The Best Researcher Award profile, presented in connection with the Global Innovation Technologist Awards, summarizes indicators relevant to scholarly recognition. The reported publication and citation metrics, together with the two identified clinical research topics, provide a basis for further assessment. A formal award decision should additionally examine verified publication records, author contributions, research quality, and alignment with the award’s published criteria. This profile does not itself establish that an award has been conferred.

Conclusion

Hiroyuki Kinoshita’s supplied research profile documents substantial publication and citation activity in medicine and health sciences. His identified 2026 publications address perioperative management and pediatric anesthesia, illustrating clinically oriented research topics. Further evaluation using verified bibliographic records and full-text publications would provide a stronger basis for assessing research quality and award suitability.

References

  1. Anezaki, H., Kawashima, S., Kobayashi, A., et al., including Kinoshita, H. (2026). Perioperative management in a patient immediately after cardiac arrest caused by severe hypermagnesemia due to magnesium-containing laxative overdose: a case report. Renal Replacement Therapy.
  2. Kawashima, S., Kobayashi, A., Kawashima, W., Kinoshita, H., et al. (2026). Bridging the Gap: From Statistical Thresholds to Perfusion-Based Targets in Pediatric Anesthesia. Anesthesia and Analgesia.
  3. Elsevier. (n.d.). Scopus author details: Hiroyuki Kinoshita, Author ID 56214100600. Scopus. Bibliometric values reproduced from the supplied profile information.
    https://www.scopus.com/authid/detail.uri?authorId=56214100600
  4. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://doi.org/10.1073/pnas.0507655102
  5. Global Innovation Technologist Awards. (n.d.). Official website. Award information and organizational details. innovationtechnologist.com

Jatinder Kumar | Health Care Services | Best Researcher Award

Published on by Innovation Technologist

Dr. Jatinder Kumar | Health Care Services | Best Researcher Award

IT Professional at PGIMER, Chandigarh, India

Dynamic IT professional with over 25 years of experience in software development, network infrastructure, and IT solutions. Specializes in full-stack development, cloud computing (AWS, Azure), network security, and virtualization technologies. Experienced in integrating business strategy with technology to enhance IT operations. Holds extensive expertise in hospital information systems, data analytics, and artificial intelligence applications in healthcare.

Publication Profile 

Scopus

Educational Background 🎓

  • PhD in Computer Science, Chitkara University (2024)
  • Master of Philosophy (Computer Science), MMU, Sadopur, Ambala, Haryana (2013)
  • Master of Business Administration (MBA), Panjab University, Chandigarh (2006)
  • Master of Computer Applications (MCA), Panjab University, Chandigarh (1997)
  • Bachelor of Science (B.Sc.), M.A.M. College, Jammu (1994)

Professional Experience 💼

  • Software Engineer, Trident InfoTech Corporation Limited, Chandigarh
    • Developed software solutions and contributed to system design and deployment.
    • Worked on enterprise-level applications for various industries.
  • Computer Programmer, PGIMER, Chandigarh (Since 2001)
    • Key contributor to the implementation of the Hospital Information System (HIS) for a 2,500-bed hospital.
    • Designed and developed the inventory module using process flow diagrams and entity-relationship diagrams.
    • Enhanced patient care, reduced wait times, and streamlined administrative workflows.
    • Involved in system integration, cloud-based solutions, and data migration strategies.

Research Interests 🔬

  • Artificial intelligence and deep learning applications in healthcare.
  • Medical imaging and thyroid nodule analysis using deep learning models.
  • Multi-agent system frameworks for efficient hospital administration.
  • Cloud computing and security solutions for healthcare IT systems.
  • e-Governance and digital transformation in public healthcare.

Awards and Honors🏆✨

  • Best Paper Presentation, TELEMEDICON 2024, PGIMER, Chandigarh.
  • Best Paper Presentation, ICAAIML 2024, Hyderabad, India.
  • First Prize in Yoga Competition, International Yoga Day 2024, PGIMER, Chandigarh.
  • Represented Chandigarh in National Yoga Competitions in Telangana and Rajasthan.
  • Conducting yoga classes and educational support for underprivileged children in Chandigarh.
  • Various professional certifications in hardware, Oracle, and MCSE.

Conclusion🌟

With an extensive background in IT, healthcare systems, and artificial intelligence, the author has made significant contributions to hospital information systems and deep learning applications in medical imaging. His research and professional work have enhanced patient care and operational efficiency in healthcare institutions. Recognized for academic excellence and community service, he continues to drive innovation in AI-driven healthcare solutions and IT infrastructure development.

Publications 📚

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023, December). Deep Learning for Improved Thyroid Nodule Analysis in Ultrasound Images. INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS (IJRAR.ORG), Volume 10, Issue 4.

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023). Utilizing Deep Learning Models for the Classification of Thyroid Nodules in Ultrasound Images. The International Journal of Engineering and Science (IJES), Volume 12, Issue 11, Pages 18-31.

📖 Kumar, J., Panda, S.N., & Dayal, D. (2023, December). An Overview of Deep Learning Methods for Segmenting Thyroid Ultrasound Images. International Journal of Advanced Engineering and Nano Technology (IJAENT), ISSN: 2347-6389 (Online), Volume 10, Issue 12.

📖 Kumar, J., Panda, S.N., Dayal, D., & Sharma, M. (2024). Enhancing Thyroid Nodule Assessment with Deep Learning and Ultrasound Imaging. e-Prime – Advances in Electrical Engineering, Electronics, and Energy (Scopus). (Submitted after revision, awaiting acceptance letter.)

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2023, November). Deep learning routes to thyroid ultrasound image segmentation: A review. AIP Conference Proceedings, Vol. 2878, No. 1. AIP Publishing.

🎙️ Kumar, J., Panda, S.N., Dayal, D., & Sharma, M. (2023, September). Review of Deep Learning Techniques Over Thyroid Ultrasound Image Segmentation. 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), pp. 320-326. IEEE.

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2023). Pediatric Thyroid Ultrasound Image Classification Using Deep Learning: A Review. Chitkara University Doctoral Consortium – CUDC 2023.

🎙️ Kumar, J., Panda, S.N., & Dayal, D. (2024). Improving Thyroid Nodule Evaluation Using Deep Learning and Ultrasound Imaging. National Telemedicine Conference – TELEMEDICON 2024, held in Chandigarh (November 28-30, 2024).